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  4. Electronic and Software Implementation of a Robust Augmented Reality System Based on HOG and SVM Classifier
 
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Electronic and Software Implementation of a Robust Augmented Reality System Based on HOG and SVM Classifier

Journal
Lecture Notes in Networks and Systems
Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2024)
ISSN
2367-3370
Date Issued
2026
Author(s)
Julio Pérez Naranjo
Carlos Gallardo-Quingatuña
Marcelo Pozo-Palma
Erika Cachago-LLuglluna
Naranjo Pérez Johanna Maribel
Universidad UTE  
DOI
https://doi.org/10.1007/978-3-031-98890-5_49
Abstract
Augmented reality systems are currently present in multiple sectors, such as medicine, architecture, education, and entertainment.

These systems enhance user interactivity when receiving information. This article describes the design and implementation of a robust augmented reality system for the “Gustavo Orcés” Natural History Museum.

The proposed system uses a camera to detect people in the image using the Histogram of Oriented Gradients (HOG) technique and a Support Vector Machine (SVM) to determine whether the image corresponds to a person or not.

To increase the robustness of the system in activating augmented reality with users, PIR sensors are integrated, and a presence sensor controlled by an Atmega164p microcontroller is designed. An augmented reality application developed in Unity 3D displays interactive 3D models of dinosaurs on a screen, which is activated upon detecting museum visitors, thus providing interactivity and education on paleontology.

Tests were conducted on the system to verify its response to changes in lighting and the number of users.
Subjects

Electronic systems

HOG

PIR sensor

Robust augmented real...

SVM classifier

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